Development and validation of an AMR-based predictive model for post-PCI upper gastrointestinal bleeding in NSTEMI patients

We developed a simple and effective nomogram for predicting the occurrence of UGIB within 1 year in NSTEMI patients after PCI based on angiographic microvascular resistance.

Authors

Institutions

Publication Details

Journal
Frontiers in Endocrinology
Published
2025-04-16
DOI
https://doi.org/10.3389/fendo.2025.1545462
Citations
1
Primary Topic
Antiplatelet Therapy and Cardiovascular Diseases
Type
article
Field-Weighted Citation Impact
1.39

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Development and validation of an AMR-based predictive model for post-PCI upper gastrointestinal bleeding in NSTEMI patients

Dongye Li, Lei Li, Junhong Chen, Tongda Xü et al.
1 citations
Frontiers in Endocrinology
Antiplatelet Therapy and Cardiovascular Diseases
1.39
article

Development and validation of an AMR-based predictive model for post-PCI upper gastrointestinal bleeding in NSTEMI patients

Dongye Li, Lei Li, Junhong Chen, Tongda Xü, Zhaokai Wang, Cheng Li, Shuping Yang, Chengcheng Chen, Chun‐Xue Zhou
article en
1 citations

Abstract

We developed a simple and effective nomogram for predicting the occurrence of UGIB within 1 year in NSTEMI patients after PCI based on angiographic microvascular resistance.

Frontiers in EndocrinologyVol. 16
Xuzhou Medical College (CN)
Jiangsu Commission of Health, Xuzhou Medical University, Graduate Research and Innovation Projects of Jiangsu Province
Openalex Percentile: Top 20%
Antiplatelet Therapy and Cardiovascular Diseases
1.39
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.